Assessing Adherence to Healthy Dietary Habits Through the Urinary Food Metabolome: Results From a European Two-Center Study
Artikel i vetenskaplig tidskrift, 2022
Objectives: The aim of this study was to identify urinary metabolites that could serve as robust biomarkers of diet quality, as assessed through the Alternative Healthy Eating Index (AHEI-2010).
Design: We set up two-center samples of 160 healthy volunteers, aged between 25 and 50, living as a couple or family, with repeated urine sampling and dietary assessment at baseline, and 6 and 12 months over a year. Urine samples were subjected to large-scale metabolomics analysis for comprehensive quantitative characterization of the food-related metabolome. Then, lasso regularized regression analysis and limma univariate analysis were applied to identify those metabolites associated with the AHEI-2010, and to investigate the reproducibility of these associations over time.
Results: Several polyphenol microbial metabolites were found to be positively associated with the AHEI-2010 score; urinary enterolactone glucuronide showed a reproducible association at the three study time points [false discovery rate (FDR): 0.016, 0.014, 0.016]. Furthermore, other associations were found between the AHEI-2010 and various metabolites related to the intake of coffee, red meat and fish, whereas other polyphenol phase II metabolites were associated with higher AHEI-2010 scores at one of the three time points investigated (FDR < 0.05 or β ≠ 0).
Conclusion: We have demonstrated that urinary metabolites, and particularly microbiota-derived metabolites, could serve as reliable indicators of adherence to healthy dietary habits.
Författare
Pol Castellano-Escuder
CIBER - Centro de Investigación Biomédica en Red
Universitat de Barcelona
Raúl González-Domínguez
CIBER - Centro de Investigación Biomédica en Red
Universitat de Barcelona
Marie-France Vaillant
Université Grenoble Alpes
Patricia Casas-Agustench
Universitat de Barcelona
CIBER - Centro de Investigación Biomédica en Red
Nicole Hidalgo-Liberona
Universitat de Barcelona
CIBER - Centro de Investigación Biomédica en Red
Núria Estanyol-Torres
Universitat de Barcelona
CIBER - Centro de Investigación Biomédica en Red
Thomas G. Wilson
Aberystwyth University
Manfred Beckmann
Aberystwyth University
Amanda Lloyd
Aberystwyth University
Marion Oberli
Groupe SEB
Christophe Moinard
Université Grenoble Alpes
Christophe Pison
Université Grenoble Alpes
Frontiers in Nutrition
2296861X (eISSN)
Vol. 9Ämneskategorier (SSIF 2025)
Biologi
Annan naturvetenskap
Styrkeområden
Livsvetenskaper och teknik (2010-2018)
DOI
10.3389/fnut.2022.880770